Real-world data offer great potential to evaluate the effectiveness and safety of diabetes medications in pharmacoepidemiologic studies, when randomized controlled trials are not available, but come with challenges. This webinar will provide an overview of what is real world evidence (RWE) and the considerations when using or interpreting RWE. Many RWE studies can incur substantial bias not from data limitations or lack of randomization, but from avoidable, bias-inducing study design choices.
Dr. Hojin Shin will provide an overview of what is RWE and its potential role in clinical decision-making. Dr. Katsiaryna Bykov will present major sources of avoidable bias in RWE studies of medication safety and effectiveness and discuss potential solutions and current efforts to improve the quality of RWE studies.Date: Friday, May 17, 2024Time: 12:00 p.m. - 1:00 p.m. EST
HoJin Shin, BPharm, PhD HoJin Shin, BPharm, PhD is a postdoctoral research fellow in the Division of Pharmacoepidemiology and Pharmacoeconomics at Brigham and Women’s Hospital and Harvard Medical School. She holds a Bachelor of Pharmacy and a Master of Pharmacy degrees from Seoul National University (South Korea). She earned her Doctor of Philosophy degree in Population Health Sciences at the Harvard Graduate School of Arts and Sciences and a Master of Science degree in Pharmacoepidemiology at the Harvard T.H. Chan School of Public Health. Her doctoral dissertation focused on evaluating the use of sodium-glucose cotransporter-2 inhibitors, a novel glucose-lowering therapy, as first-line treatment for type 2 diabetes, using large US health insurance claims databases. Her postdoctoral work has been dedicated to bridging the gap between randomized controlled trial (RCT) findings and real-world evidence (RWE). This involves generalizing RCT results to broader populations treated in clinical settings and linking individual trial participants to their claims data to investigate the root causes of discrepancies between RCT results and RWE and assess how each database could complement the other.
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